Research on Output Forecasting of Wind Power and Photovoltaic Complementary Power Plant Based on Adaptive Neural Network
In order to improve the output prediction accuracy of wind-solar hybrid power plants,an output prediction model of wind-solar hybrid power plants based on adaptive neural network was proposed.The unit output of the wind-solar hybrid power plant is analyzed,and a generalized regression neural network model and a radial basis neural network model are established.A solution model of joint dynamic group cooperative optimization algorithm and sine-cosine optimization algorithm is proposed,and the model is used to calculate the wind-solar hybrid forecast,and the effectiveness of the model proposed in this paper is demonstrated by simula-tion analysis.
neural networkwind and solar complementarityoutput forecastadaptive network
万方数据
维普
